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Development of AI-Driven Social Platform for Personalized Interest Curation
  1. case
  2. Development of AI-Driven Social Platform for Personalized Interest Curation

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Development of AI-Driven Social Platform for Personalized Interest Curation

techwings.com
Media
Information technology

Challenges in Developing a Scalable Social Platform for Interest-Based Curation

The client needed to address multiple challenges including designing an engaging UX/UI, developing fully native iOS/Android apps, ensuring backend scalability for growing user demand, implementing seamless testing/deployment pipelines, and integrating AI-powered recommendation systems to enhance user discovery and engagement.

About the Client

A social media platform focused on interest-based content curation and community engagement.

Strategic Goals for Platform Development

  • Achieve high user satisfaction through intuitive design and seamless performance
  • Build a scalable backend infrastructure to support exponential user growth
  • Implement AI-driven personalization to increase content discovery and user retention
  • Ensure cross-platform feature parity and native performance standards

Core System Capabilities and Features

  • Multi-category list creation and curation tools
  • AI-powered personalized content recommendations
  • Native iOS and Android applications with platform-specific optimizations
  • User profile management with social engagement features
  • Cross-platform content synchronization

Technology Stack Requirements

Swift
Kotlin
Node.js
Amazon Web Services
PostgreSQL
Figma

System Integration Needs

  • AI recommendation engine integration
  • Third-party authentication providers
  • Cloud storage for media assets
  • Analytics and user behavior tracking tools

Performance and Scalability Requirements

  • Support 10x user growth without performance degradation
  • Ensure sub-500ms response times for core API endpoints
  • Implement enterprise-grade data security measures
  • Maintain 99.9% system uptime through automated DevOps pipelines

Anticipated Business Outcomes

The platform is expected to achieve 4.8+ star ratings through superior UX, enable rapid user acquisition with scalable infrastructure, and drive engagement through personalized content discovery. The solution will position the client for sustained market growth in the social media sector while maintaining technical flexibility for future feature expansions.

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